📌 Featuretools for feature generation

- python -m pip install featuretools

Featuretools is a Python library for automated feature development, i.e. defining variables from the data set for training the ML model.
Featuretools excels at converting temporal and relational datasets into feature matrices for machine learning.

🖥 GitHub
🧑‍💻 Docks

✅️ http://www.tgoop.com/codeprogrammer ✅️

🖥 Open tutorial with Python basics

Not only basic topics are covered here, but also more advanced ones - such as working with datetime , itertools , os and other modules/libraries

Great source of information to look through before your interview.

▶️ Textbook 👈

✅️ http://www.tgoop.com/codeprogrammer ✅️

🌟 Step-by-step implementation of the Transformer architecture

This laptop describes in as much detail as possible each step of implementing a transformer from scratch, with the necessary theoretical minimum
For complete enlightenment, you can combine it with video 3b1b

▶️ Jupyter Notebook

✅️ http://www.tgoop.com/codeprogrammer ✅️

🖥 Data structures in Python - cheat sheet

Keep a powerful cheat sheet on data structures in Python; Everything is explained here with examples, so it will be crystal clear
Concepts such as mutability, immutability are described, things like list comprehensions and much more are described.

📎 Crib

✅️ http://www.tgoop.com/codeprogrammer ✅️

⚡️ Big ML cheat sheet

Here you will find the basic theory of Machine Learning and examples of the implementation of specific ML algorithms - in general, this is just the thing to brush up on your knowledge before the interview.

📎 Crib

✅️ http://www.tgoop.com/codeprogrammer ✅️